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International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04)
Parallel Genetic Algorithms for Third Generation Mobile Network Planning
Dresden, Germany
September 07-September 10
ISBN: 0-7695-2080-4
ASCII Text
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Carsten Maple, Liang Guo, Jie Zhang, "Parallel Genetic Algorithms for Third Generation Mobile Network Planning," Parallel Computing in Electrical Engineering, International Conference on, pp. 229-236, International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04), 2004.
 
 
BibTex
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@article{ 10.1109/PCEE.2004.51,
author = {Carsten Maple and Liang Guo and Jie Zhang},
title = {Parallel Genetic Algorithms for Third Generation Mobile Network Planning},
journal ={Parallel Computing in Electrical Engineering, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2080-4},
pages = {229-236},
doi = {http://doi.ieeecomputersociety.org/10.1109/PCEE.2004.51},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel Computing in Electrical Engineering, International Conference on
TI - Parallel Genetic Algorithms for Third Generation Mobile Network Planning
SN - 0-7695-2080-4
SP229
EP236
A1 - Carsten Maple,
A1 - Liang Guo,
A1 - Jie Zhang,
PY - 2004
KW - 3G
KW - CDMA
KW - parallel genetic algorithm
KW - optimisation
KW - coverage
KW - capacity
VL - 0
JA - Parallel Computing in Electrical Engineering, International Conference on
ER -
 
Carsten Maple, University of Luton, UK
Liang Guo, University of Luton, UK
Jie Zhang, University of Luton, UK
As Third Generation (3G) mobile networks start to be implemented, there is a need for effective network planning. However, deciding upon the optimum placement for the base stations of the networks is a complex task requiring vast computational resource. This paper discusses the conflicting objectives of base station planning and characterises a multi-objective optimisation problem. We present a genetic encoding of the third generation mobile network planning problem and parallel genetic algorithms to solve it.
Index Terms:
3G, CDMA, parallel genetic algorithm, optimisation, coverage, capacity
Citation:
Carsten Maple, Liang Guo, Jie Zhang, "Parallel Genetic Algorithms for Third Generation Mobile Network Planning," parelec, pp.229-236, International Conference on Parallel Computing in Electrical Engineering, (PARELEC'04), 2004
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